Causal Inference Is Different in Business

# Causal Inference Is Different in Business When businesses make decisions, they need to understand not just what happened, but *why* it happened and what will change if they act differently—and that requires a different approach than how data scientists typically analyze information. The stakes of getting this wrong are higher in business (losing money, damaging customers), which means companies need methods that account for real-world complexity and the actual consequences of their choices, not just statistical patterns.
How does decision-gravity dictate this gap? The post Causal Inference Is Different in Business appeared first on Towards Data Science.
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